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基于图像空间域信息隐藏关键技术研究

发布时间:2018-07-13 08:55
【摘要】:随着互联网技术和多媒体信息技术的飞速发展,计算机已经走进了千家万户。互联网使信息交换的形式多种多样同时不受空间限制,使得数字多媒体信息在网上传播越来越便捷,给人们的工作和生活带来了很大的便利。然而,互联网是把双刃剑,给人们工作和生活带来便利的同时也带来信息安全隐患。传统的信息安全防护措施是通过密码学对传输的明文信息进行加密处理形成一堆无法直接阅读识别的密文信息,从而达到不被非法分子直接获取的目的。现阶段网络传输中的新问题催生出学者们对信息隐藏(InformationHiding)技术研究的热潮。信息隐藏技术不同于传统的密码学技术,传统的密码学技术仅仅做到信息的内容不被非法接收者所识别,信息隐藏是将机密信息隐藏到一般的数字多媒体(视频、图像、音频、文档文件等)中,隐藏有机密信息的媒体看起来和其他没有隐藏机密信息的一般媒体相同,从而不容易被非法分子注意和发觉,容易逃过非法分子的破解和攻击。本文主要针对目前图像空间域信息隐藏技术中存在的问题进行了较深入的研究。具体研究内容如下:(1)本文首先分析并总结了国内外在空间域内各种图像信息隐藏技术的特点。其次,为进一步提高现有的图像信息隐藏技术的鲁棒性、机密信息的藏量(Capacity)以及改善隐密图像的质量,主要做了以下几个方面的研究:1)为了提高机密信息的藏量,本文提出了一种基于modulo 3策略的图像信息隐藏方案。本方案通过对载体图像中每个像素的灰度值进行加一减一操作达到隐藏两个三进制机密信息的目的,仿真实验结果表明本方案在载体图像的藏量和鲁棒性方面都有所提高。2)为了提高隐密图像的质量,本文根据人类视觉系统(HVS)对图像的平滑区域比较敏感的特性,提出了一种基于动态基数数制系统(VRNS)的自适应图像信息隐藏方案。该方案首先把机密信息分段并转换成动态基数数制系统表示,然后把转换后的机密信息优先藏在载体图像中比较复杂的区域从而达到提高隐密图像视觉质量的目的。最后仿真实验显示本方案不仅获得了一个更好的视觉质量效果,而且提高了鲁棒性。(2)图像信息隐藏技术已经发展的很迅速,但是目前存在的空间域内数字图像信息隐藏技术普遍存在一个问题——难抵御数学统计分析。由于在空间域进行信息隐藏改变了原有图像像素间的正态分布特性,使用数学统计分析工具很容易识破一幅数字图像中是否藏有机密信息。信息隐藏技术得以发展最主要的原因是其伪装性不易被非法分子重点关注,如果很容易被数学统计分析工具攻击,信息隐藏技术的意义就没有那么重要了。所以本文提出的两个改进方案均引入了SPAM攻击测试,最后实验结果证明本文改进的两种方案更能抵抗SPAM攻击,鲁棒性都有所提高。
[Abstract]:With the rapid development of Internet technology and multimedia information technology, computers have entered thousands of households. The Internet makes the forms of information exchange various and not restricted by space, making digital multimedia information more and more convenient on the Internet, which brings great convenience to people's work and life. However, the Internet is a double-edged sword, which brings convenience to people's work and life, but also brings hidden trouble of information security. The traditional information security protection measures are to encrypt the transmitted plaintext information through cryptography to form a pile of ciphertext information which can not be read directly, so as to achieve the purpose of not being directly obtained by illegal elements. At present, the new problems in network transmission give rise to the upsurge of the research on information hiding technology. The information hiding technology is different from the traditional cryptography technology. The traditional cryptography technology only makes the content of the information not recognized by the illegal receiver. The information hiding is to hide the confidential information to the general digital multimedia (video, image, audio). In documents and files, the media with secret information looks the same as other media without secret information, so it is not easy to be noticed and detected by illegal elements, and easy to escape the cracking and attack of illegal elements. This paper mainly focuses on the problems existing in image spatial domain information hiding technology. The main contents of this paper are as follows: (1) this paper firstly analyzes and summarizes the characteristics of various image information hiding techniques in spatial domain at home and abroad. Secondly, in order to further improve the robustness of the existing image information hiding technology, the capacity of the secret information and the quality of the secret image, we mainly do the following research: 1) in order to improve the volume of the secret information, This paper presents an image information hiding scheme based on modulo 3 strategy. The scheme can hide two ternary secret information by adding and subtracting the gray value of each pixel in the carrier image. The simulation results show that the proposed scheme improves both the volume and robustness of the carrier image. In order to improve the quality of the hidden image, the human visual system (HVS) is more sensitive to the smooth region of the image in order to improve the quality of the hidden image. An adaptive image information hiding scheme based on dynamic cardinality system (VRNS) is proposed. In this scheme, the secret information is segmented and transformed into a dynamic cardinal number system, and then the converted secret information is first stored in the complex region of the carrier image, so as to improve the visual quality of the hidden image. Finally, the simulation results show that this scheme not only achieves a better visual quality effect, but also improves the robustness. (2) Image information hiding technology has been developed very quickly. However, the existing spatial domain digital image information hiding technology generally has a problem-difficult to resist the mathematical statistical analysis. Because the information hiding in the spatial domain changes the normal distribution between pixels of the original image, it is easy to identify whether a digital image contains secret information by using the mathematical statistical analysis tool. The main reason for the development of information hiding technology is that its camouflage is not easy to be paid attention to by illegal elements. If it is easy to be attacked by mathematical statistical analysis tools, the significance of information hiding technology is not so important. Therefore, the two improved schemes introduced SPAM attack test. Finally, the experimental results show that the two improved schemes are more resistant to SPAM attacks, and the robustness is improved.
【学位授予单位】:安徽大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TP391.41;TP309

【参考文献】

相关期刊论文 前2条

1 张伟建;;浅谈数制与转换[J];数字技术与应用;2010年07期

2 刘峰,张鹏;信息隐藏技术及其应用[J];天津通信技术;2001年01期



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